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Data Scientist – Credit Card & Payment Products Analytics
·Israel
On-siteFull-timeData ScienceBanking
Experienced data scientist needed to develop machine learning models and perform advanced analytics on large datasets to support credit card and payment product decisions.
Responsibilities
- Work with large datasets using machine learning algorithms to identify trends in credit cards, digital wallets, and advanced payment methods.
- Identify business challenges to improve decision-making around credit risk, sales volumes, churn, and activity levels.
- Develop models for customer churn, product acquisition, card usage, campaign response, consumer behavior, sales growth, personalization, and recommendations.
- Build control models for settlements with payment companies and business partners.
- Collect and integrate internal and external data sources such as transaction history, credit usage, digital channels, competitor data, and market trends.
- Structure additional databases and define information presentation for decision makers.
- Manage and monitor unit revenues and analyze income streams alongside operational expenses.
Requirements
- Relevant bachelor's degree (economics, computer science, statistics, mathematics, industrial engineering with information systems specialization).
- Completion of a Data Scientist training program from a recognized institution.
- At least 3 years of experience as a Data Scientist in a large financial organization (advantage: banks and credit card companies).
- Proven experience developing machine learning models.
- Proficiency in Python and libraries such as Pandas, NumPy, Scikit-learn.
- Experience with SQL and analysis on large databases.
- Familiarity with statistical methods, data mining, and model performance evaluation.
- Experience using AI tools.